Film · 2013 · Films · 2010s
The Zero Theorem
Scored from 157 calibrated IMDb reviewers, each re-centered on their own rating baseline before the title is ranked. Cohort: Films · 2010s (13,059 peers).
Summary
In a dystopian near-future, reclusive computer genius Qohen Leth is assigned by a shadowy corporation to solve the Zero Theorem, a mathematical formula meant to determine whether existence has any meaning. Working from his home in a burnt-out chapel while awaiting a phone call he believes will reveal his life's purpose, he is visited by a seductive woman and a teenage prodigy who complicate his obsessive quest.
The Zero Theorem is a 2013 comedy, drama and fantasy film. Its comedy subtype is Dark Comedy.
Its in-cohort standing is measured against the other 13,058 2010s films, not against the whole corpus. A second review pool sits behind it as well: 339 Rotten Tomatoes reviewers clear the same calibration test, and Rankquant scores them separately. 157 IMDb reviewers rate with enough spread for a personal baseline to be measured, and those are the ones the calibrated score reads; a separate, broader pool of 158 reviewers with at least two reviews each feeds the raw-average track.
How the score was built
We compare the reviewers of this title against every other title those same people reviewed. Each review is scored relative to the reviewer's own baseline — a 7/10 from a hard grader sits well above their average, while a 7/10 from a generous grader sits below theirs. Every reviewer then counts the same, so the result is a calibrated consensus rather than a raw average.
- Global percentile
- Where The Zero Theorem lands against every title we rank.
- In-cohort percentile
- The same comparison narrowed to its cohort — titles of the same format released in the same decade. A 1970s film is judged against 1970s films, not against last year's streaming series. Ranked against Films · 2010s (13,059 titles).
- AI-adjusted percentile
- The same reviewer-normalized score, corrected for how much confidence the sample supports: thin samples are pulled toward the corpus average. Each title keeps the share n / (n + 53) of its measured distance from the average, where n is its calibrated-reviewer count, and the result is ranked on the same scale as the global percentile.53 is the median sample size across everything we rank. Here n is 157.
Cohort: Films · 2010s
